Teleoperating Assistive Robots: A Novel User Interface Relying on Semi-Autonomy and 3D Environment Mapping

Author:

Materna Zdeněk, ,Španěl Michal,Mast Marcus,Beran Vítězslav,Weisshardt Florian,Burmester Michael,Smrž Pavel, ,

Abstract

[abstFig src='/00290002/11.jpg' width='300' text='User-assisted pick and place task' ] Despite remarkable progress of service robotics in recent years, it seems that a fully autonomous robot which would be able to solve everyday household tasks in a safe and reliable manner is still unachievable. Under certain circumstances, a robot’s abilities might be supported by a remote operator. In order to allow such support, we present a user interface for a semi-autonomous assistive robot allowing a non-expert user to quickly asses the situation on a remote site and carry out subtasks which cannot be finished automatically. The user interface is based on a mixed reality 3D environment and fused sensor data, which provides a high level of situational and spatial awareness for teleoperation as well as for telemanipulation. Robot control is based on low-cost commodity hardware, optionally including a 3D mouse and stereoscopic display. The user interface was developed in a human-centered design process and continuously improved based on the results of five evaluations with a total of 81 novice users.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

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1. Using 3D Mice to Control Robot Manipulators;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

2. An Action-Level Assistant for Robotic Manipulation: User Experience and Performance;2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC);2023-11-21

3. Remote Control Device to Drive the Arm Gestures of an Assistant Humanoid Robot;Applied Sciences;2023-10-09

4. New configurations of the tele-extraction concept;International Journal of Forest Engineering;2023-07-21

5. Towards Safe Remote Manipulation: User Command Adjustment based on Risk Prediction for Dynamic Obstacles;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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